DAX (Germany) Market Value

GDAXI
 Index
  

 13,701  165.96  1.23%   

DAX's market value is the price at which a share of DAX stock trades on a public exchange. It measures the collective expectations of DAX investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of DAX and determine expected loss or profit from investing in DAX over a given investment horizon. Check out DAX Hype Analysis, DAX Correlation, Portfolio Optimization, DAX Volatility, as well as analyze DAX Alpha and Beta and DAX Performance.
Symbol

Please note, there is a significant difference between DAX's value and its price as these two are different measures arrived at by different means. Investors typically determine DAX value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, DAX's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

DAX 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to DAX's index what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of DAX.
0.00
05/12/2022
No Change 0.00  0.0 
In 3 months and 1 day
08/10/2022
0.00
If you would invest  0.00  in DAX on May 12, 2022 and sell it all today you would earn a total of 0.00 from holding DAX or generate 0.0% return on investment in DAX over 90 days. More

DAX Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure DAX's index current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess DAX upside and downside potential and time the market with a certain degree of confidence.

DAX Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for DAX's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DAX's standard deviation. In reality, there are many statistical measures that can use DAX historical prices to predict the future DAX's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of DAX's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of DAX in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
13,70013,70113,702
Details
Intrinsic
Valuation
LowReal ValueHigh
13,61313,61415,071
Details
Naive
Forecast
LowNext ValueHigh
13,40413,40513,407
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
12,61113,24413,878
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as DAX. Your research has to be compared to or analyzed against DAX's peers to derive any actionable benefits. When done correctly, DAX's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in DAX.

DAX Backtested Returns

DAX secures Sharpe Ratio (or Efficiency) of -7.0E-4, which denotes the index had -7.0E-4% of return per unit of volatility over the last 3 months. Macroaxis viewpoint regarding predicting the risk of any index is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. DAX exposes twenty-eight different technical indicators, which can help you to evaluate volatility that cannot be diversified away.
The entity shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. Let's try to break down what DAX's beta means in this case. the returns on MARKET and DAX are completely uncorrelated. Even though it is essential to pay attention to DAX historical returns, it is always good to be careful when utilizing equity current trending patterns. Our way of predicting any index's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. DAX exposes twenty-eight different technical indicators, which can help you to evaluate its performance.

Auto-correlation

    
  -0.62  

Very good reverse predictability

DAX has very good reverse predictability. Overlapping area represents the amount of predictability between DAX time series from 12th of May 2022 to 26th of June 2022 and 26th of June 2022 to 10th of August 2022. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of DAX price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current DAX price fluctuation can be explain by its past prices.
Correlation Coefficient-0.62
Spearman Rank Test-0.33
Residual Average0.0
Price Variance114327.54

DAX lagged returns against current returns

Autocorrelation, which is DAX index's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting DAX's index expected returns. We can calculate the autocorrelation of DAX returns to help us make a trade decision. For example, suppose you find that DAX index has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
   Current and Lagged Values   
Share
       Timeline  

DAX regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If DAX index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DAX index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DAX index over time.
   Current vs Lagged Prices   
Share
       Timeline  

DAX Lagged Returns

When evaluating DAX's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DAX index have on its future price. DAX autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, DAX autocorrelation shows the relationship between DAX index current value and its past values and can show if there is a momentum factor associated with investing in DAX.
   Regressed Prices   
Share
       Timeline  

Be your own money manager

Our tools can tell you how much better you can do entering a position in DAX without increasing your portfolio risk or giving up expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate.risk-adjusted returns of your individual positions relative to your overall portfolio.

Did you try this?

Run Equity Search Now

   

Equity Search

Search for actively traded equities including funds and ETFs from over 30 global markets
All  Next Launch Module

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
Check out DAX Hype Analysis, DAX Correlation, Portfolio Optimization, DAX Volatility, as well as analyze DAX Alpha and Beta and DAX Performance. Note that the DAX information on this page should be used as a complementary analysis to other DAX's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.

Other Tools for DAX Index

When running DAX price analysis, check to measure DAX's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy DAX is operating at the current time. Most of DAX's value examination focuses on studying past and present price action to predict the probability of DAX's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move DAX's price. Additionally, you may evaluate how the addition of DAX to your portfolios can decrease your overall portfolio volatility.
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Go
Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Go
Technical Analysis
Check basic technical indicators and analysis based on most latest market data
Go
Watchlist Optimization
Optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm
Go
ETF Directory
Find actively traded Exchange Traded Funds (ETF) from around the world
Go
Probability Of Bankruptcy
Get analysis of equity chance of financial distress in the next 2 years
Go
Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios
Go
Global Correlations
Find global opportunities by holding instruments from different markets
Go
Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals
Go
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Go
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Go